Data Scientist IV TS/SCI

JPL/NASA•Pasadena, CA

4d•$165,360 - $227,864•Onsite

About The Position

The Artificial Intelligence Group is seeking a Data Scientist IV to work on fundamental research problems leading to unique software applications in spacecraft autonomy, scientific data analysis, mission operations automation, and onboard analysis for real-time decisions. The Data Scientist IV will have the opportunity to work on development projects that include the automation of ground and flight operations for communications stations, space missions, marine vehicles, and aerial vehicles, including fleets of vehicles. You will use Artificial Intelligence technologies to partially and fully automate critical systems for scheduling, planning, and resource allocation. Our software is currently in use for numerous missions including but not limited to: ECOSTRESS, OCO-3, EMIT, NISAR, M2020, and the DSN.

Requirements

Bachelor's degree in Computer Science or related discipline with a minimum of 9 years of related work experience; Master's degree in similar disciplines with a minimum of 7 years of related work experience; or PhD in similar disciplines with a minimum of 5 years of related work experience.
Broad knowledge in one or more related fields of the following areas: software development, artificial intelligence, operations research, resource allocation mechanisms.
Experience in wide application of principles, theories, concepts, and techniques in programming languages (in order of preference) such as Rust, C++, C, Python, and Java.
Background knowledge in Artificial Intelligence and/or Operations research techniques and concepts, as documented by software artifacts built, tested, etc.
Must have an active Top Secret (TS) clearance based upon Single Scope Background Investigation (SSBI) within a 5 year scope and must be approved for Sensitive Compartmented Information (SCI) accesses.

Nice To Haves

Hands-on experience in automation and analysis systems for robotic autonomous systems.
Extensive knowledge of applicable industry and/or academic practices and standards in Software design & development and Computer Science.
Experience in interdisciplinary team leadership.

Responsibilities

Develop planning, scheduling, resource allocation, and execution algorithms for autonomous systems that interpret complex state, resource, constraint, and event data to take actions to achieve mission goals.
Develop and use search-based, constraint-based, satisfaction and optimization systems to solve large scale planning and resource allocation problems.
Develop software to represent and reason about complex geometric and operations constraints relevant to observation planning.
Support broader team efforts in this automation and resource allocation areas.